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/porters-five-forces

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Read an industry's structure through Porter's Five Forces with documented signals per rating, ending at the profit pool. Use when weighing market entry or when margins erode and nobody can say why.

Use this Skill: https://skilld.dev/gh/deanpeters/product-manager-skills/porters-five-forces

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examplessample.md

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Porter's Five Forces — Worked Example

All companies, products, URLs, and figures are fictional. Same scenario as the chain examples: Fieldlight is deciding how to expand into field service management (FSM) software. The landscape scan (market-landscape-scan/examples/sample.md) named who plays; this analysis asks what the structure does to everyone who plays. The scan was in session, so the skill built on it and searched only for structural signals (concentration, margins, entry history).

Invocation: Five forces on mid-market field-service management software, North America — decision: whether Fieldlight expands into full FSM or stays a scheduling specialist.


Five Forces: Mid-Market FSM Software

As-of date: 2026-07-30 Boundary: North America; vendors serving shops of 10-200 technicians Decision supported: whether Fieldlight expands into full FSM or stays a scheduling specialist

1. Competitive Rivalry — moderate

  • Signals: top 3 vendors hold roughly half the mid-market per trade-association survey — Fact (TSA survey, Apr 2026); category still growing double-digit, which absorbs rivalry — Fact (analyst note); differentiation is real (dispatch depth vs. self-serve vs. suite tie-in), softening head-to-head price war — Inference (distinct positioning per landscape scan)
  • What it means here: rivals compete on wedges, not yet on price — growth is doing the peacekeeping, and that ends when growth does.

2. Threat of New Entrants — strong

  • Signals: DispatchCrow went from scheduling tool to funded FSM player in two years — Fact (Series A coverage, Jan 2026); no regulatory barrier and commodity infrastructure — Fact (category norm); the proven entry path (own the calendar, expand to quoting) is repeatable by any scheduling or invoicing tool — Inference (two prior entrants used it)
  • What it means here: the door Fieldlight wants to walk through is standing open — for everyone else too.

3. Threat of Substitutes — strong

  • Signals: whiteboard + phone + group text remains the true incumbent below 30 techs — Inference (forum polls; landscape scan section 3); generic tools (spreadsheets, consumer invoicing apps) are free and already known — Fact (category surveys)
  • AI-driven substitution, named and assessed: AI-drafted quotes already in two vendors' betas — Fact (both changelogs); an AI assistant that turns a phone call into a scheduled, quoted job attacks the data-entry value that justifies half these products — Assumption (no shipped example yet; watch quarterly)
  • What it means here: the category's floor competes with free and habit; its ceiling may soon compete with AI doing the typing.

4. Buyer Power — moderate

  • Signals: buyers are thousands of small shops, unconcentrated — Fact (market structure); but switching costs are low at the entry tier (monthly plans, self-serve) — Fact (three vendors' pricing pages); price transparency is high — published tiers are the norm — Fact (same pages); power rises with shop size as multi-year suite contracts appear — Fact (Wrenchline pricing)
  • What it means here: no single buyer matters, but the segment can walk cheaply at the low end — retention pressure does what buyer concentration would.

5. Supplier Power — moderate

  • Signals: commodity cloud infrastructure, multiple providers — Fact; but payments processing runs through two dominant platform providers whose take rate is non-negotiable at this scale — Fact (processor pricing pages); AI features inherit model-provider dependency and pricing — Inference (all announced AI betas cite third-party models)
  • What it means here: classic inputs are cheap, but the two growth engines — payments and AI — both carry a platform toll.

6. The Profit Pool (the "so what")

  • Where margin sits today, and the force squeezing it: software subscription margin at the dispatch-led middle (30-100 techs), where switching costs are real and substitutes weakest; the low end's margin is squeezed from two sides — buyers who can walk cheaply and free substitutes — Inference (forces 3 and 4 above). Payments attach margin is growing but shared with processors — Fact (attach economics per investor materials).
  • Structure trend: tightening — entry threat is strong and category growth, the current peacekeeper, decelerated in the latest survey — Fact (TSA survey)
  • For your decision: staying a scheduling specialist parks Fieldlight permanently in the squeezed low end, competing with free. Expansion toward the dispatch-led middle is where the pool sits — but the strong-entrants force means the window is shared with every other tool running the same play, so speed matters more than polish.

Assumptions to Validate

  • AI call-to-quote assistants remain unshipped for at least 2 more quarters (watch changelogs)
  • Category growth deceleration is real, not a survey artifact
  • Payments attach margin survives processor take rates at trades-business transaction sizes

Why this example works

  • Every rating survives "how do you know?" Each force stands on 2-4 dated signals; nothing is rated on how crowded the market "feels." Note force 1's honest mechanism: growth — not vendor virtue — is what's keeping rivalry moderate.
  • AI substitution got named and rated, not hand-waved. It's an Assumption with a watch cadence attached — the framework stays honest about what hasn't shipped yet while refusing to pretend it's 2015.
  • Supplier power got the modern read. No steel and freight here; the supplier concentration that matters is payment processors and model providers — the tolls on both growth engines.
  • The profit-pool close changes the decision. "Where does margin go?" produced an actual stance — expand toward the middle, move fast — that five tidy ratings alone would never yield. It also agrees with, and sharpens, the landscape scan's So What.

Source: SKILL.md on GitHub

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    This skill provides a structured framework for conducting Porter's Five Forces industry analysis. It emphasizes evidence-based reasoning and includes modern considerations like AI-driven substitution. No security vulnerabilities or malicious behaviors were detected.

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  • Snyk2mo

    Risk: MEDIUM · 1 issue

Signed by skilld at eb7a51e. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub last month.

Activeupdated 3 months ago
argument-hint
[industry or segment, and the decision it supports]
type
workflow
theme
market-intelligence
Other metadata
intent
An evidence-cited five-forces read: rivalry, new entrants, substitutes (with AI-driven substitution named explicitly), buyer power, and supplier power — each force rated weak/moderate/strong with the documented signals that justify the rating, closing with where the profit pool sits and who is squeezing it.
best_for
[
  "Pressure-testing a market-entry decision against the industry's actual structure",
  "Explaining margin erosion structurally instead of blaming execution",
  "Grounding strategy debates in rated forces with evidence, not vibes"
]
scenarios
[
  "We're considering entering the clinical-data-management space — what does its structure do to everyone who plays?",
  "Our margins keep compressing and every explanation is tactical; give me the structural read"
]
estimated_time
25-40 min per run

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